Maram Akila

32 papers C 1Journal 19Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions.
CoRR
Sujan Sai Gannamaneni, Rohil Prakash Rao, Michael Mock, Maram Akila, Stefan Wrobel
2025 J jnl
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions.
Trans. Mach. Learn. Res.
Sujan Sai Gannamaneni, Rohil Prakash Rao, Michael Mock, Maram Akila, Stefan Wrobel
2025 — conf
Global Properties from Local Explanations with Concept Explanation Clusters.
xAI (1)
Elena Haedecke, Maram Akila, Laura von Rüden
2025 — conf
Navigating the Landscape of AI Test Methods Using Taxonomy-Based Selection.
RAIE
Maximilian Pintz, Anna Schmitz, Rebekka Görge, Sebastian Schmidt, Daniel Becker, Maram Akila, Michael Mock
2024 J jnl
Assessing systematic weaknesses of DNNs using counterfactuals.
AI Ethics
Sujan Sai Gannamaneni, Michael Mock, Maram Akila
2024 — conf
Exploiting CLIP Self-Consistency to Automate Image Augmentation for Safety Critical Scenarios.
CVPR Workshops
Sujan Sai Gannamaneni, Frederic Klein, Michael Mock, Maram Akila
2024 — conf
Inspecting and Measuring Fairness of unlabeled Image Datasets.
ICDEW
Rebekka Görge, Michael Mock, Maram Akila
2024 J jnl
Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans.
AI Ethics
Sergio Genovesi, Julia Maria Mönig, Anna Schmitz, Maximilian Poretschkin, Maram Akila, Manoj Kahdan, Romina Kleiner, Lena Krieger, Alexander Zimmermann
2024 — conf
Towards Trustworthy AI Engineering - A Case Study on integrating an AI audit catalog into MLOps processes.
RAIE@ICSE
Lennard Helmer, Claudio Martens, Dennis Wegener, Maram Akila, Daniel Becker, Sermad Abbas
2024 J jnl
Wasserstein dropout.
Mach. Learn.
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer
2023 J jnl
Assessing Systematic Weaknesses of DNNs using Counterfactuals.
CoRR
Sujan Sai Gannamaneni, Michael Mock, Maram Akila
2023 J jnl
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog.
CoRR
Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel
2023 — conf
Investigating CLIP Performance for Meta-data Generation in AD Datasets.
CVPR Workshops
Sujan Sai Gannamaneni, Arwin Sadaghiani, Rohil Prakash Rao, Michael Mock, Maram Akila
2023 J jnl
ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models.
Comput. Graph.
Elena Haedecke, Michael Mock, Maram Akila
2022 J jnl
A Survey on Uncertainty Toolkits for Deep Learning.
CoRR
Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin, Maram Akila
2022 C conf
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations.
ICPRAM
Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz
2022 — conf
ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions.
EuroVA@EuroVis
Elena Haedecke, Michael Mock, Maram Akila
2022 J jnl
Tailored Uncertainty Estimation for Deep Learning Systems.
CoRR
Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
2022 J jnl
The why and how of trustworthy AI.
Autom.
Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel
2021 J jnl
A Novel Regression Loss for Non-Parametric Uncertainty Optimization.
CoRR
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
2021 J jnl
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.
CoRR
Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
2021 — conf
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities.
CVPR Workshops
Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila
2021 J jnl
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities.
CoRR
Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila
2021 — conf
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation.
CVPR Workshops
Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz
2021 J jnl
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation.
CoRR
Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz
2021 — conf
Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA.
ICCVW
Sujan Sai Gannamaneni, Sebastian Houben, Maram Akila
2021 — conf
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.
IV Workshops
Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz
2021 J jnl
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.
CoRR
Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz
2020 J jnl
Characteristics of Monte Carlo Dropout in Wide Neural Networks.
CoRR
Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer
2020 J jnl
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations.
CoRR
Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz
2020 — conf
Revisiting Neuron Coverage and Its Application to Test Generation.
SAFECOMP Workshops
Stephanie Abrecht, Maram Akila, Sujan Sai Gannamaneni, Konrad Groh, Christian Heinzemann, Sebastian Houben, Matthias Woehrle
2020 J jnl
Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties.
CoRR
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel